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Article detail · 2023

The role of systemic ımmune ınflammatory ındex in showing active lesion ın patients with multiple sclerosis

Journal

Springer Science and Business Media LLC

ISSN 1471-2377

The ISSN points to another catalog journal; the name is from the YÖKSİS record.

YÖKSİS OpenAlex Open access · gold SJR Q2 JCR Q3 Citations 26 Top 10% Percentile 92.7% FWCI 2.93
Year
2023
Type
article

Data source split

  • YÖKSİS YÖKSİS article record
  • YÖKSİS venue Springer Science and Business Media LLC
  • Catalog match (ISSN) BMC Neurology
  • OpenAlex OpenAlex enrichment (abstract, citations, topics)

Abstract

English (OpenAlex)

BACKGROUND: Multiple sclerosis (MS) has two pathophysiological processes, one inflammatory and the other degenerative. We investigated the relationship between active lesions on magnetic resonance imaging showing the inflammatory phase in MS patients and serum parameters that can be used as inflammatory biomarkers. Thus, we aim to detect the inflammatory period in clinical and radiological follow-up and to reveal the period in which disease-modifying treatments are effective with serum parameters. METHODS: One hundred eighty-six MS patients presented to our hospital between January 2016 and November 2021 and 94 age- and sex-matched healthy volunteers were recruited for our study. While 99 patients had active lesions on magnetic resonance imaging, 87 patients did not have any active lesions. Neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), and monocyte/lymphocyte ratio (MLR) were determined. The SII (systemic immune inflammatory index) value was calculated according to the platelet X neutrophil/lymphocyte ratio formula. RESULTS: NLR, MLR, PLR and SII values were found to be statistically significantly higher in MS patients than in the control group. The NLR, MLR, PLR and SII were higher in the active group with gadolonium than in the group without active lesions. In addition, the cutoff values that we can use to determine the presence of active lesions were 1.53, 0.18, 117.15, and 434.45 for NLR, MLR PLR and SII, respectively. CONCLUSIONS: We found that all parameters correlated with radiological activity. In addition, we showed that we can detect the inflammatory period with high sensitivity and specificity with the cutoff value used for SII and PLR. Among these easily accessible and inexpensive evaluations, we concluded that SII, including the values in the PLR formula, can come to the fore.

Topics

  • Inflammatory Biomarkers in Disease Prognosis
  • Multiple Sclerosis Research Studies
  • Neuroinflammation and Neurodegeneration Mechanisms

Primary topic Inflammatory Biomarkers in Disease Prognosis

Authors

  1. ŞEYDA FİGÜL GÖKÇE
  2. ASLI BOLAYIR
  3. BURHANETTİN ÇİĞDEM SİVAS CUMHURİYET ÜNİVERSİTESİ
  4. BÜLENT YILDIZ